dc.contributor.author
Kiakos, Konstantinos
en
dc.date.accessioned
2019-04-17T10:26:43Z
dc.date.available
2019-04-18T00:00:21Z
dc.date.issued
2019-04-17
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/29370
dc.rights
Default License
dc.subject
Forecasting
en
dc.title
Forecasting methods for the time period of closing open sales opportunities at the operations sales department of Alumil.
en
heal.type
masterThesis
en_US
heal.classification
Operations management, data analytics
en
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Economics, Business Administration and Legal Studies, MSc in Management
en_US
heal.publicationDate
2019-04-17
heal.abstract
This consulting project was written as part of the MSc in Management at the
International Hellenic University.
Big manufacturing companies and other organizations face serious challenges about
forecasting. In this competitive environment proper predictions can offer significant
advantages to the companies. Forecasting is about demand, sales and time of closing
opportunities. In this project the forecasting of time of closing suggested offers is
examined with specialized methods.
The firm provided some data and according to them and to the scope of the project,
some models were analyzed and implemented. These methods were identified after a
research through academic papers and sites. The comparison of different models aids
the firm to identify the advantages and the shortcoming of each of them and to decide
which the best is. The main objective of this project is to contribute to the efficiency of
Alumil’s operations.
This PDF report is accompanied with a PowerPoint document that presents the project
more briefly and one excel document which can be useful for the firm to use the
model. In excel document there are all parts of the analysis and all models. This
document provides the formulas of the models and can be used in future months with
the suitable adjustments. It is provided only for the ease of the firm to implement the
models in the future.
en
heal.advisorName
Katsaliaki, Korina
en
heal.committeeMemberName
Katsaliaki, Korina
en
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
en_US